Using AI to identify bacterial species from microscope images

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study aims to develop artificial intelligence technology that can detect and classify Acid-Fast Bacilli (AFB) from microscope images of fixed glass slides. By analyzing these images, the study seeks to improve the speed and accuracy of bacterial species identification in patients undergoing AFB smear tests. The approach leverages advanced image analysis techniques to enhance diagnostic capabilities in clinical settings.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Patients in whom acid-fast bacilli(AFB) smear test was ordered

Exclusion Criteria:

* No exclusion criteria

Where it's running

• Osaka University Hospital
  Suita, Osaka, Japan Recruiting

Study contacts

• Study coordinator: Tatsuya Yamada, M.D.
• Email: tatsuya.yamada@grameye.com
• Phone: 7028060149

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.